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Author Mansouri, M.; Dumont, B.; Destain, M.-F. url  openurl
  Title Predicting Grain Protein Content of Winter Wheat Type Conference Article
  Year 2014 Publication Abbreviated Journal  
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  Area Expedition Conference 22nd European Symposium on Artificial Networks, Computational Intelligence and Machine Learning. Bruges, Belgium, 2014-04-23 to 2014-04-25  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2631  
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Author Mansouri, M.; Dumont, B.; Destain, M.-F. url  openurl
  Title Bayesian methods for predicting and modelling winter wheat biomass Type Conference Article
  Year 2014 Publication Abbreviated Journal  
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  Area Expedition Conference MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2629  
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Author Mansouri, M.; Dumont, B.; Destain, M.-F. url  openurl
  Title Bayesian methods for predicting LAI and soil moisture Type Conference Article
  Year 2012 Publication Abbreviated Journal  
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  Keywords CropM  
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  Area Expedition Conference 11th International Conference on Precision Agriculture. Indianapolis (USA), 2012-07-15 to 2012-07-18  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2627  
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Author Dumont, B.; Basso, B.; Bodson, B.; Destain, J.-P.; Destain, M.-F. url  doi
openurl 
  Title Assessing and modeling economic and environmental impact of wheat nitrogen management in Belgium Type Journal Article
  Year 2016 Publication Environmental Modelling & Software Abbreviated Journal Env. Model. Softw.  
  Volume 79 Issue (up) Pages 184-196  
  Keywords Tactical nitrogen management; Climatic variability; Probability risk; assessment; LARS-WG; Crop model; STICS; stics crop model; generic model; simulation; yield; water; soil; fertilizer; behavior; climate; maize  
  Abstract Future progress in wheat yield will rely on identifying genotypes & management practices better adapted to the fluctuating environment Nitrogen (N) fertilization is probably the most important practice impacting crop growth. However, the adverse environmental impacts of inappropriate N management (e.g., lixiviation) must be considered in the decision-making process. A formal decisional algorithm was developed to tactically optimize the economic & environmental N fertilization in wheat. Climatic uncertainty analysis was performed using stochastic weather time-series (LARS-WG). Crop growth was simulated using STICS model. Experiments were conducted to support the algorithm recommendations: winter wheat was sown between 2008 & 2014 in a classic loamy soil of the Hesbaye Region, Belgium (temperate climate). Results indicated that, most of the time, the third N fertilization applied at flag-leaf stage by farmers could be reduced. Environmental decision criterion is most of the time the limiting factor in comparison to the revenues expected by farmers. (C) 2016 Elsevier Ltd. All rights reserved.  
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  Language English Summary Language Original Title  
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  ISSN 1364-8152 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4749  
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Author Dumont, B.; Leemans, V.; Ferrandis Vallterra, S.; Vancutsem, F.; Seutin, B.; Bodson, B.; Destain, J.-P.; Destain, M.-F. url  openurl
  Title Assessing the potential of an algorithm based on mean climatic data to predict wheat yield Type Conference Article
  Year 2012 Publication Abbreviated Journal  
  Volume Issue (up) Pages  
  Keywords CropM  
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  Area Expedition Conference 11th International Conference on Precision Agriculture. Indianapolis (USA)., 2012-07-15 to 2012-07-18  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2404  
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